AI stack
The infrastructure behind every growth system we ship.
We are platform-agnostic and outcome-obsessed. Tools earn their place by measurably improving quality, speed or cost, and every one of them sits behind the same governance layer.
Technology map
Five layers in one governed system.
Filter by layer to see what each part of the stack is responsible for inside a live engagement.
GPT-class LLMs
Intelligence
Strategy synthesis, research analysis and long-form reasoning
Claude-class LLMs
Intelligence
Editorial drafting, brand-voice adherence and document review
Vector knowledge base
Intelligence
Structured brand knowledge every agent retrieves from
Custom agent framework
Intelligence
Specialist agents for research, outreach, QA and reporting
AI content studio
Content & Creative
Briefing, drafting and repurposing across channels at scale
Generative imaging
Content & Creative
On-brand visual concepts, variants and campaign creative
Design system tooling
Content & Creative
Component libraries keeping every asset visually consistent
Video & motion AI
Content & Creative
Short-form editing, subtitling and localisation pipelines
Workflow orchestration
Automation
Event-driven pipelines connecting every platform in the stack
Conversational agents
Automation
Website, WhatsApp and inbox agents that qualify and route
Document automation
Automation
Proposals, reports and onboarding packs generated on trigger
CRM platform
Demand & CRM
Single pipeline record with automated stage hygiene
Ad platforms & feeds
Demand & CRM
Performance channels driven by first-party conversion signals
Lifecycle messaging
Demand & CRM
Email, SMS and WhatsApp sequences personalised per segment
Product & web analytics
Analytics
Behavioural data on how demand moves through the experience
Attribution layer
Analytics
Channel-to-pipeline modelling with cost and ROI reporting
BI dashboards
Analytics
Executive views of pipeline, CAC, conversion and hours saved
SEO & search intelligence
Analytics
Demand mapping, ranking movement and content gap analysis
Governance layer
Capability is worthless without control.
Every AI workflow we deploy is wrapped in the same four controls, so security, legal and leadership can sign off with confidence.
Data boundaries
Defined rules for what client data enters which system, with retention and training settings documented per platform.
Human review gates
Nothing customer-facing publishes without a named human approval step recorded against the asset.
Versioned workflows
Prompts, agents and automations are versioned and change-logged, so behaviour is reproducible and reversible.
Model evaluation
We benchmark models against real client tasks and swap them when measured quality or cost changes, not when a launch trends.
We are not loyal to tools. We are loyal to the number they move.
From Brand to Benchmark
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